New PDF release: Advances in Computational Intelligence: 14th International

By Andrea Sgarro, Laura Franzoi (auth.), Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, Ronald R. Yager (eds.)

ISBN-10: 3642317170

ISBN-13: 9783642317170

ISBN-10: 3642317189

ISBN-13: 9783642317187

These 4 volumes (CCIS 297, 298, 299, three hundred) represent the lawsuits of the 14th overseas convention on info Processing and administration of Uncertainty in Knowledge-Based structures, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised complete papers offered including six invited talks have been rigorously reviewed and chosen from a number of submissions. The papers are prepared in topical sections on fuzzy computer studying and online modeling; computing with phrases and determination making; gentle computing in laptop imaginative and prescient; tough units and complicated facts research: thought and functions; clever databases and knowledge approach; info fusion structures; philosophical and methodological elements of sentimental computing; uncomplicated matters in tough units; fortieth anniversary of the measures of fuziness; SPS11 uncertainty in profiling structures and purposes; dealing with uncertainty with copulas; formal easy methods to care for uncertainty of many-valued occasions; linguistic summarization and outline of information; fuzzy implications: thought and purposes; sensing and information mining for educating and studying; concept and purposes of intuitionistic fuzzy units; approximate elements of knowledge mining and database analytics; fuzzy numbers and their purposes; info processing and administration of uncertainty in knowledge-based platforms; aggregation capabilities; vague possibilities; probabilistic graphical versions with imprecision: conception and purposes; trust functionality idea: fundamentals and/or purposes; fuzzy uncertainty in economics and company; new developments in De Finetti's procedure; fuzzy measures and integrals; multicriteria selection making; uncertainty in privateness and protection; uncertainty within the spirit of Pietro Benvenuti; coopetition; online game concept; probabilistic approach.

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Extra info for Advances in Computational Intelligence: 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012, Proceedings, Part III

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An interval-valued mean (or expected) value of A ∈ IVFN is defined as E I (A) = [E − (A), E + (A)]. It is easy to see that the embedded fuzzy number with the minimal (maximal) possibilistic mean value is defined by the γ-level sets [A1 (γ), a2 (γ)] ([a1 (γ), A2 (γ)]). Using this, the interval-valued possibilistic mean (or expected) value can be written as 1 E I (A) = [E − (A), E + (A)] = 1 γ(A1 (γ) + a2 (γ))dγ, 0 γ(a1 (γ) + A2 (γ))dγ . 0 E − (A) and E + (A) can be considered as the lower and upper possibilistic mean values of A, respectively.

G. mean value) in statistics can naturally be interpreted in the context of possibility theory. In possibility theory, there exist several ways to define mean value and variance of fuzzy numbers, for example, Dubois and Prade [5] defined an interval-valued expectation of fuzzy numbers, viewing them as consonant random sets; Yoshida et al. [22] introduced a possibility mean, a necessity mean and a credibility mean of fuzzy numbers; Liu [13] proposed a novel concept of expected value for normalized fuzzy variables motivated by the theory of Choquet integrals.

On a canonical representation of a fuzzy number. Fuzzy Sets and Systems 93, 125–135 (1998) 6. : Bi-symmetrically weighted trapezoidal approximations of fuzzy numbers. In: 9th Int. Conf. on Intelligent Systems Design and Applications, pp. 318–323. IEEE Press, Washington (2009) 7. : Weighted trapezoidal approximations of fuzzy numbers. In: Proc. of the Joint Int. Fuzzy Systems Assoc. World Congress and European Soc. of Fuzzy Logic and Techn. , pp. 1531–1534 (2009) 8. : On the nearest parametric approximation of a fuzzy number.

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Advances in Computational Intelligence: 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012, Proceedings, Part III by Andrea Sgarro, Laura Franzoi (auth.), Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, Ronald R. Yager (eds.)


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